Evidence map›Paper›PMID 26515765›Full record

ReviewGenes, brain, and behavior2016

Decoding the non-coding genome: elucidating genetic risk outside the coding genome.

C L Barr, V L Misener

Open access · bronzeAbstract readReview
In one paragraph

Review in Genes, brain, and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. dbBIP: a comprehensive bipolar disorder database for genetic research.Database : the journal of biological databases and curation · 2022
    Article
  5. Article
  6. Article
  7. Investigating the Causal Effect of Brain Expression ofFrontiers in bioengineering and biotechnology · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. From profiles to function in epigenomics.Nature reviews. Genetics · 2017
    Review
  15. Review
  16. Waddington, Dynamic Systems, and Epigenetics.Frontiers in behavioral neuroscience · 2016
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

C L BarrToronto Western Research Institute, University Health Network.
V L MisenerToronto Western Research Institute, University Health Network.
Western Research Institute · US

Funding

CIHR 133440-1CIHR 89855-1
6 · The paper itself

Abstract

Current evidence emerging from genome-wide association studies indicates that the genetic underpinnings of complex traits are likely attributable to genetic variation that changes gene expression, rather than (or in combination with) variation that changes protein-coding sequences. This is particularly compelling with respect to psychiatric disorders, as genetic changes in regulatory regions may result in differential transcriptional responses to developmental cues and environmental/psychosocial stressors. Until recently, however, the link between transcriptional regulation and psychiatric genetic risk has been understudied. Multiple obstacles have contributed to the paucity of research in this area, including challenges in identifying the positions of remote (distal from the promoter) regulatory elements (e.g. enhancers) and their target genes and the underrepresentation of neural cell types and brain tissues in epigenome projects - the availability of high-quality brain tissues for epigenetic and transcriptome profiling, particularly for the adolescent and developing brain, has been limited. Further challenges have arisen in the prediction and testing of the functional impact of DNA variation with respect to multiple aspects of transcriptional control, including regulatory-element interaction (e.g. between enhancers and promoters), transcription factor binding and DNA methylation. Further, the brain has uncommon DNA-methylation marks with unique genomic distributions not found in other tissues - current evidence suggests the involvement of non-CG methylation and 5-hydroxymethylation in neurodevelopmental processes but much remains unknown. We review here knowledge gaps as well as both technological and resource obstacles that will need to be overcome in order to elucidate the involvement of brain-relevant gene-regulatory variants in genetic risk for psychiatric disorders.

Indexed as

Genetic Predisposition to DiseaseGenome, HumanRegulatory Sequences, Nucleic AcidDNA MethylationHumansMental DisordersTranscriptional Activation5-Hydroxymethylationadolescent brainenhancersepigeneticsgene expressiongene regulationmethylationnon-CG methylationnon-coding RNApsychiatric disorderstranscriptome

Identifiers

PMID26515765
PMCPMC4833497
OpenAlexW1830197897

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.